README.md

metadata

title: Ukrainian TTS
emoji: 🐌
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version: 3.3
python_version: 3.9
app_file: app.py
pinned: false

Ukrainian TTS 📢🤖

Ukrainian TTS (text-to-speech) using Coqui TTS.

Link to online demo -> https://huggingface.co/spaces/robinhad/ukrainian-tts Link to source code and models -> https://github.com/robinhad/ukrainian-tts

Code is licensed under MIT License, models are under GNU GPL v3 License.

Support

If you like my work, please support -> https://send.monobank.ua/jar/48iHq4xAXm

Example

Mykyta (male):

https://user-images.githubusercontent.com/5759207/178158485-29a5d496-7eeb-4938-8ea7-c345bc9fed57.mp4

Olena (female):

https://user-images.githubusercontent.com/5759207/178158492-8504080e-2f13-43f1-83f0-489b1f9cd66b.mp4

How to use:

1. pip install -r requirements.txt.
2. Download model from "Releases" tab.
3. Launch as one-time command:

tts --text "Text for TTS" \
    --model_path path/to/model.pth \
    --config_path path/to/config.json \
    --out_path folder/to/save/output.wav

or alternatively launch web server using:

tts-server --model_path path/to/model.pth \
    --config_path path/to/config.json

How to train: 🏋️

1. Refer to "Nervous beginner guide" in Coqui TTS docs.
2. Instead of provided config.json use one from this repo.

Attribution 🤝

• Model training - Yurii Paniv @robinhad
• Mykyta, Olena and Lada dataset - Yehor Smoliakov @egorsmkv
• Silence cutting using HMM-GMM - Volodymyr Kyrylov @proger
• Autostress (with dictionary) using ukrainian-word-stress - Oleksiy Syvokon @asivokon
• Autostress (with model) using ukrainian-accentor - Bohdan Mykhailenko @NeonBohdan + Yehor Smoliakov @egorsmkv